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Machine Learning Engineer

United States · Job Posted April 23, 2026
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Job Description

Machine Learning Engineer – NLP & Customer Analytics Contract through the end of 2026 + possible extension into 2027 W2 only – NO C2C Remote, in the United States We are seeking a Machine Learning Engineer to help build and deploy data-driven models that improve customer experience, retention, and marketing performance. This role focuses on applying machine learning and NLP to real-world customer data, including call center transcripts and behavioral datasets.

Job Responsibility

  • Analyze call center transcripts and unstructured text data using NLP to detect customer sentiment and intent
  • Identify churn risk and customer complaints
  • Surface upsell and cross‑sell opportunities
  • Develop and deploy machine learning models for customer churn prediction
  • Next Best Offer / personalization
  • Campaign targeting and uplift modeling
  • Create customer segments and propensity models
  • Support A/B testing, experimentation, and campaign optimization
  • Work with diverse data sources such as customer usage, billing, CRM, and call logs
  • Collaborate with data, analytics, and business teams to translate insights into action
  • Deploy, monitor, and improve ML models in production environments

Requirements

  • Strong Python skills (Pandas, scikit‑learn, TensorFlow or PyTorch)
  • Hands-on experience with machine learning and NLP
  • Solid SQL and data manipulation skills
  • Experience working with customer, marketing, or behavioral data
  • Experience working with unstructured data, including text and transcripts
  • Comfortable taking models from development through production
  • Experience in telecom, subscription-based, or recurring revenue businesses
  • Background in recommendation systems, personalization, or uplift modeling
  • Familiarity with speech analytics or call center data
  • Experience supporting experimentation frameworks or A/B testing

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